code: def parse_args():
      parser = argparse.ArgumentParser(
          description="Demo of Scene Graph Extraction."
      )
      parser.add_argument(
          "--image",
          type=str,
          default="",
          help="The image for scene graph extraction.",
      )
      parser.add_argument(
          "--gpu",
          type=str,
          default="",
          help="GPU id to use for inference, default is not using GPU.",
      )
      parser.add_argument(
          "--pretrained-faster-rcnn-params",
          type=str,
          default="",
          help="Path to saved Faster R-CNN model parameters.",
      )
      parser.add_argument(
          "--reldn-params",
          type=str,
          default="",
          help="Path to saved Faster R-CNN model parameters.",
      )
      parser.add_argument(
          "--faster-rcnn-params",
          type=str,
          default="",
          help="Path to saved Faster R-CNN model parameters.",
      )
      parser.add_argument(
          "--freq-prior",
          type=str,
          default="freq_prior.pkl",
          help="Path to saved frequency prior data.",
      )
      args = parser.parse_args()
      return args
  
file_path: dgl/examples/mxnet/scenegraph/demo_reldn.py
imports: import argparse
  import gluoncv
  import mxnet
  from data import *
  from gluoncv.data.transforms import presets
  from gluoncv.utilz import download
  from model import faster_rcnn_resnet101_v1d_custom, RelDN
  from utils import *
  import dgl
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: args